Throughout several articles, we have yet to devote many words to the topic of prompting. However, crafting good prompts leads to better output from generative AI. So, let's cover some basic prompting techniques that will help anyone using generative AI get better results.
Welcome to the fourth and final chapter of our eBook, 'AI-Powered Construction Management Part 3,' Criteria for Project Success. We now narrow our focus down to exploring the project-success criteria and factors in construction project management. These elements are pivotal in defining and achieving project objectives and ensuring projects are on time, within budget and of the desired quality.
The architecture, engineering, and construction industry is on the cusp of a transformative era, as demonstrated in the Bluebeam AEC Technology Outlook 2025 survey. With rapid technological advancements—particularly artificial intelligence (AI)—and an industry-wide emphasis on sustainability, firms balance opportunities with challenges. The survey was conducted in 2024 across markets in several countries or regions.
XYZ Reality addresses the complexities of delivering projects on time and within budget while maintaining high-quality standards with Atom™, an advanced augmented reality (AR) solution transforming construction teams' operations.
In the news this week: Bridging the talent gap, the benefits of using AI in construction, OpenAI releases an infrastructure blueprint for the U.S., what RAG is, money raised by Document Crunch, the concrete industry's CO2 problem, and more.
When it comes to leveraging artificial intelligence (AI) in preconstruction, the problems begin ... well, at the beginning, said panelists at the 2024 Toronto Summit: Future of Preconstruction. They may actually begin before the beginning. "The challenge in fusing AI with preconstruction is that the preconstruction phase is the “most human-tasked part of the construction.”
At a talk on artificial intelligence in a recent safety conference, my excitement turned to disappointment when the speaker promoted a camera system with basic AI functionality—tracking hardhat compliance and flagging puddles. I'd hoped to hear about how generative AI is revolutionizing construction work at a fundamental level. Our industry is still grappling with meaningfully implementing AI technology.
Welcome to the third chapter of our eBook series 'AI-Powered Construction Management Part 3’. Here we focus on understanding the critical components of SWOT analysis in project management, particularly how artificial intelligence can optimize strengths, weaknesses, opportunities, and threats in construction projects.
Artificial intelligence (AI) is a buzzword in today's construction landscape. But to move beyond the talk, it will have to demonstrate clear value by addressing specific industry pain points if its immense potential is to be realized, said panelists at "Applications for AI in AEC" in September at the BuiltWorlds 2024 Toronto Summit.
AI is technology. Wading through the hype to understand what it can and cannot (so far) do, knowing your professional pain points, and then identifying internal technology champions on your team, are the three keys to success when it comes to building a foundation to most effectively harness artificial intelligence (AI).
Intelligent Document Processing (IDP) is an advanced, AI-driven approach to managing, analyzing, and extracting meaningful data from a variety of document types. From invoices and contracts to forms and, critically, unstructured files, IDP technology enables organizations to handle documents automatically and with remarkable accuracy.
In the news, generative AI tools like ChatGPT keep gradually extending their reach. Meanwhile reports relate "death by a thousand pilots," the promise of agentic AI and the study outcome on whether ChatGPT can exceed humans in construction project risk management. Plus relevant press releases from solution providers on their latest incorporations of AI into applications.